Dynamic Clustering Mechanism to Avoid Congestion Control in Vehicular Ad Hoc Networks Based on Node Density
Autor: | R. Regin, T. Menakadevi |
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Rok vydání: | 2019 |
Předmět: |
business.industry
Computer science Wireless ad hoc network Node (networking) ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Process (computing) 020206 networking & telecommunications 02 engineering and technology Computer Science Applications Determining the number of clusters in a data set Network congestion 0202 electrical engineering electronic engineering information engineering Wireless 020201 artificial intelligence & image processing Electrical and Electronic Engineering Duration (project management) business Cluster analysis Computer network |
Zdroj: | Wireless Personal Communications. 107:1911-1931 |
ISSN: | 1572-834X 0929-6212 |
DOI: | 10.1007/s11277-019-06366-2 |
Popis: | Due to the rapid growth in wireless communications, vehicular ad-hoc networks (VANETs) face many challenges over wireless communication networks. Nowadays VANETs have become a major research and they have incredible resources to improve road traffic efficiency, safety, convenience and comfort to both drivers and passengers etc. Congestion occurs when the vehicles are in the dense part while the network node is carrying more data than it can handle. The proposed DBDC: density based dynamic clustering devices determine node density of the precise location in a lane and provide a proactive solution for congestion. To trigger the congestion control process in the cluster, we use average vehicle density threshold which is calculated using trained dataset. If the node density is greater than the threshold value, the dynamic clustering process is triggered. Our simulation result indicates that the overall performance of our scheme is better than multi agent dynamic clustering and vehicular weighted clustering algorithm in terms of average cluster number, cluster head duration and average cluster member duration. |
Databáze: | OpenAIRE |
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